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Preliminary	
  results	
  	
  
Dung	
  Doan	
  
Crawford	
  School	
  of	
  Public	
  Policy	
  
27	
  November	
  2012
Income and diet quality in China

2004-2009
Research context
  Structural shift in dietary consumptions in developing
countries
  Characterized not by calories deficiency, but by unbalanced diet
  Significant impacts on dietary welfare, health, and labor quality
  Warnings of deteriorating diet quality as income rises in China
  Shift away from Chinese tradition diet
  Higher consumption of animal foods and edible oils
  Lower grain and vegetable consumption
  Calories intake decreases
  Increasing income hardly reduces vitamin A & D deficiencies
2
Literature review
  Strong focus on diet adequacy
  Levels of food and nutrient consumption as dependent variables
  E.g. Berhman & Deolalikar (1987), Ravallion (1990), Skoufias (2002,
2009), Mangyo (2008)
  Studies on consumption quantity are insufficient to inform about
how diet quality changes as income grows
  Estimated income elasticity varies widely across studies
  Consumption quantity reveals limited info about changes in diet structure
and quality
  Other aspects of diet quality are under-studied, despite being
well-grounded in nutrition literature
3
Research questions
  Does diet quality necessarily deteriorate as income rises in
China?
  Are there income effects and what form do they take?
  Do income effects change over time?
  Are there education effects?
  Contribution:
  Directly examine income effects on an essential aspect of diet quality
that no economists has paid attention to: diet variety
  Most recent time period
4
Data
5
  China Health and
Nutrition Survey 2004,
2006, 2009
  Multi-stage, randomized
cluster sampling design
  9 provinces, approx. 3,800
households/year
  Pool sample: 20,307 adults
(18-60 years old) from
4,506 households
Methodology
  Dependent variable:
  Diet variety, measured by number of major food groups consumed
  Repeated cross-sectional regression models
  OLS :
  Poisson quasi-maximum likelihood:
where
6
Income effects
7
OLS	
   Poisson	
  	
  
Model	
   Variable	
   2004	
   2006	
   2009	
   2004	
   2006	
   2009	
  
1	
   Income	
   0.073***	
   0.016	
   0.0092	
  	
  	
  	
   0.064***	
   0.016**	
   0.0094*	
  
2	
  
Income	
   0.114***	
   0.088***	
   0.035***	
   0.114***	
   0.087***	
   0.036***	
  
Income	
  squared	
   -­‐0.0082*	
   -­‐0.0046***	
   -­‐0.0014***	
   -­‐0.0094***	
   -­‐0.0051***	
   -­‐0.0016***	
  
3	
  
QuinJle	
  2	
   0.0074	
   0.056**	
   -­‐0.038	
  	
  	
  	
   0.014	
   0.076**	
   -­‐0.038	
  
QuinJle	
  3	
   -­‐0.034	
   0.015	
   -­‐0.043	
  	
  	
  	
   -­‐0.024	
   0.039	
   -­‐0.041	
  
QuinJle	
  4	
   0.108***	
   0.117***	
   -­‐0.022	
  	
  	
  	
   0.119***	
   0.137***	
   -­‐0.018	
  
QuinJle	
  5	
   0.138***	
   0.149***	
   0.101***	
   0.143***	
   0.159***	
   0.096***	
  
*	
  p	
  <	
  0.10,	
  **	
  p	
  <	
  0.05,	
  ***	
  p	
  <	
  0.01	
  
  Upward concave relationship between income and diet variety
  Income effects vary across income groups
  Income effects weaken over time
Income effects (cont’)
8
  Marginal income effect is positive, stronger among low
income groups
  Income effects weaken over time
0.00
0.02
0.04
0.06
0.08
0.10
0.12
Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5
Marginal effects at mean income
2004
2006
2009
Education effects
  Higher education attainment, higher diet diversity
  Difference in impacts of vocational training and university education are
not significant at 10% level
9
OLS	
   Poisson	
  	
  
Educa=on	
  level	
   2004	
   2006	
   2009	
   2004	
   2006	
   2009	
  
Primary	
   0.128***	
   0.032	
   0.042	
   0.133	
   0.036	
   0.049	
  
Secondary	
   0.154***	
   0.106***	
   0.088***	
   0.159***	
   0.107***	
   0.095***	
  
High	
  school	
   0.217***	
   0.161***	
   0.150***	
   0.217***	
   0.164***	
   0.158***	
  
VocaJonal	
  training	
   0.322***	
   0.340***	
   0.296***	
   0.306***	
   0.321***	
   0.287***	
  
University	
  &	
  above	
   0.338***	
   0.279***	
   0.376***	
   0.301***	
   0.243***	
   0.341***	
  
*	
  p	
  <	
  0.10,	
  **	
  p	
  <	
  0.05,	
  ***	
  p	
  <	
  0.01	
  
	
  Base	
  educaJon	
  category	
  is	
  “No	
  educaJon”	
  	
  
Preliminary conclusion
  Household income has positive impact on diet variety.
  Income effects are stronger among low income groups, but
diminish over time.
  Education matters.
10
Issues and Steps forward
  Refine model specification and functional form
  Address issue of endogeneity between household income and
diet variety
  Explore a diet quality index as a more comprehensive
measure of diet quality
11
Thank you

12
Rationale for diet variety
  Diet variety as dependent variable
  Unambiguous and well-grounded in nutrition literature
  Widely recommended by government’s dietary guidelines
  Incorporated in well-known diet quality indexes
  Construction of variety measure
  Diet variety is most commonly measured by no. of food groups
consumed (Ruel 2005)
  Food group classification is based Chinese Food Composition Table
(Yang et al. 2004, 2009), Chinese dietary guidelines 2007, and Diet
quality index – International (Kim et al. 2003)
13
Income effects
  Upward concave relationship between income and diet variety
  Marginal income effect is smaller among high income groups
  Income effects weaken over time – flatter curves
Note: The curves represent the predicted quadratic relationship between income and diet variety, while holding all other
regressors constant. Thus, values on the vertical axis do not represent nominal value of diet variety.
14
-
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0 3 6 9 12 15 18
Predicteddietvariety
Household income per capita (10,000 Yuan)
Predicted diet variety based on Model 2 and mean income of percentiles
2004
2006
2009
Income marginal effects
  Marginal income effect is smaller among high income groups
  Need to refer to nutrition literature to assess the benefit of
having 1 additional food group in diet
15
OLS	
   Poisson	
  	
  
Income	
  Marginal	
  effect	
   2004	
   2006	
   2009	
   2004	
   2006	
   2009	
  
Sample	
  mean	
   0.099	
  	
   	
  0.078	
   0.031	
  	
   0.097	
  	
   0.076	
  	
   0.031	
  	
  
Mean	
  of	
  quinJle	
  1	
   0.112	
  	
   0.086	
  	
   0.034	
  	
   0.111	
  	
   0.086	
  	
   0.035	
  	
  
Mean	
  of	
  quinJle	
  2	
   0.108	
  	
   	
  0.084	
  	
   0.033	
  	
   0.107	
  	
   0.083	
  	
   0.034	
  	
  
Mean	
  of	
  quinJle	
  3	
   0.104	
  	
   	
  0.081	
  	
   0.032	
  	
   0.102	
  	
   0.080	
  	
   0.032	
  	
  
Mean	
  of	
  quinJle	
  4	
   0.097	
  	
   	
  0.077	
  	
   	
  0.030	
  	
   0.094	
  	
   0.075	
  	
   0.030	
  	
  
Mean	
  of	
  quinJle	
  5	
   0.076	
  	
   	
  0.061	
  	
   	
  0.024	
  	
   0.070	
  	
   0.058	
  	
   0.023	
  	
  
Compare Model 2 and Model 3
16
0.00
0.05
0.10
0.15
0.20
0.25
Quintile 2 Quintile 3 Quintile 4 Quintile 5
Income effects, as compared to Quintile 1
2004 - model 2 2006 - model 2 2009 - model 2
2004 - model 3 2006 - model 3 2009 - model 3
Community-fixed effects
OLS	
   Poisson	
  	
  
Province	
   2004	
   2006	
   2009	
   2004	
   2006	
   2009	
  
Heilongjiang	
   -­‐0.011	
   -­‐0.049	
   -­‐0.088**	
  	
   -­‐0.0038	
   -­‐0.0392	
   -­‐0.076*	
  
Jiangsu	
   -­‐0.3889**	
   -­‐0.706***	
   -­‐0.797***	
   -­‐0.347***	
   -­‐0.617***	
   -­‐0.718***	
  
Shandong	
   -­‐0.289***	
   -­‐0.690***	
   -­‐0.487***	
   -­‐0.247***	
   -­‐0.641***	
   -­‐0.419***	
  
Henan	
   -­‐0.359***	
   -­‐0.642***	
   -­‐0.625***	
   -­‐0.316***	
   -­‐0.568***	
   -­‐0.564***	
  
Hubei	
   -­‐0.683***	
   -­‐0.917***	
   -­‐0.894***	
   -­‐0.670***	
   -­‐0.879***	
   -­‐0.849***	
  
Hunan	
   -­‐0.453***	
   -­‐0.800***	
   -­‐0.881***	
   -­‐0.434***	
   -­‐0.722***	
   -­‐0.829***	
  
Guangxi	
   -­‐0.838***	
   -­‐1.216***	
   -­‐1.175***	
   -­‐0.991***	
   -­‐1.369***	
   -­‐1.088***	
  
Guizhou	
   -­‐0.435***	
   -­‐0.6623***	
   -­‐0.600***	
   -­‐0.395***	
   -­‐0.587***	
   -­‐0.492***	
  
• p	
  <	
  0.10,	
  **	
  p	
  <	
  0.05,	
  ***	
  p	
  <	
  0.01	
  
• Base	
  province	
  is	
  Liaoning	
  
17
  Provincial factors play a significant role in determining diet
variety
  Considerable differences across some provinces
Checking multicollinearity
18
Model	
  2	
   2004	
   2006	
   2009	
  
Age	
  squared	
   56.37	
   56.76	
   55.24	
  
age	
   56.03	
   56.45	
   54.96	
  
HH	
  income	
  pc	
   5.26	
   4.18	
   3.74	
  
HH	
  income	
  pc	
  squared	
   4.53	
   3.83	
   3.53	
  
EducaJon	
  level	
  -­‐	
  2	
   3.21	
   3.18	
   3.02	
  
Province_43	
   2.46	
   2.74	
   2.7	
  
EducaJon	
  level	
  -­‐	
  1	
   2.44	
   2.58	
   2.59	
  
EducaJon	
  level	
  -­‐	
  3	
   2.43	
   2.51	
   2.26	
  
Province_32	
   2.29	
   2.45	
   2.13	
  
Province_42	
   2.25	
   2.44	
   2.11	
  
Province_23	
   2.23	
   2.41	
   2.08	
  
Province_37	
   2.06	
   2.28	
   1.92	
  
Province_41	
   2.04	
   2.06	
   1.87	
  
EducaJon	
  level	
  -­‐	
  4	
   1.84	
   2.03	
   1.85	
  
Province_52	
   1.75	
   1.94	
   1.85	
  
Price	
  -­‐	
  soy	
  oil	
  (log)	
   1.65	
   1.91	
   1.79	
  
EducaJon	
  level	
  -­‐	
  5	
   1.64	
   1.88	
   1.76	
  
Province_45	
   1.59	
   1.67	
   1.54	
  
Price	
  -­‐	
  tofu	
  (log)	
   1.49	
   1.62	
   1.51	
  
Price	
  -­‐	
  cabbage	
  (log)	
   1.35	
   1.55	
   1.42	
  
Rural	
   1.33	
   1.41	
   1.38	
  
Price	
  -­‐	
  rice	
  (log)	
   1.23	
   1.38	
   1.32	
  
Price	
  -­‐	
  tofu	
  (log)	
   1.21	
   1.33	
   1.24	
  
HH	
  size	
   1.2	
   1.27	
   1.23	
  
Price	
  -­‐	
  pork	
  (log)	
   1.13	
   1.24	
   1.22	
  
Gender	
   1.06	
   1.06	
   1.04	
  
Mean	
  VIF	
   6.23	
   6.31	
   6.05	
  
Descriptive Statistics
19
No.	
  of	
  food	
  groups	
  consumed	
   2004	
   2006	
   2009	
  
Mean	
   1.72	
   1.77	
   1.89	
  
Median	
   2	
   2	
   2	
  
Standard	
  deviaJon	
   0.77	
   0.80	
   0.83	
  
Percentage	
  
0	
   0.24%	
   0.31%	
   0.10%	
  
1	
   43.38%	
   41.76%	
   36.25%	
  
2	
   43.30%	
   41.25%	
   42.18%	
  
3	
   10.43%	
   13.85%	
   17.94%	
  
4	
   2.36%	
   2.56%	
   3.15%	
  
5	
   0.29%	
   0.28%	
   0.39%	
  
HH	
  income	
  pc	
  (Yuan),	
  adjusted	
  to	
  adult	
  
equivalence	
  scale	
  
2004	
   2006	
   2009	
  
Sample	
  mean	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  9,111	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  10,828	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  14,951	
  	
  
Mean	
  of	
  quinJle	
  1	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  1,352	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  1,505	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  1,622	
  	
  
Mean	
  of	
  quinJle	
  2	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  3,899	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  4,123	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  6,481	
  	
  
Mean	
  of	
  quinJle	
  3	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  6,439	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  7,219	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  10,442	
  	
  
Mean	
  of	
  quinJle	
  4	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  10,455	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  11,649	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  16,682	
  	
  
Mean	
  of	
  quinJle	
  5	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  23,256	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  28,671	
  	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  38,782	
  	
  
Dietary guidelines for Chinese residents
20
1.	
  Eat	
  a	
  variety	
  of	
  foods,	
  mainly	
  cereals	
  including	
  appropriate	
  amount	
  of	
  coarse	
  grains	
  	
  
2.	
  Consume	
  plenty	
  of	
  vegetables,	
  fruits	
  and	
  tubers	
  	
  	
  
3.	
  Consume	
  milk,	
  soybean	
  or	
  dairy-­‐	
  or	
  soybean-­‐products	
  everyday	
  
4.	
  Consume	
  appropriate	
  amounts	
  of	
  fish,	
  poultry,	
  eggs	
  and	
  lean	
  meat	
  
5.	
  Use	
  less	
  cooking	
  oil;	
  choose	
  a	
  light	
  diet	
  which	
  is	
  also	
  low	
  in	
  salt	
  
6.	
  Do	
  not	
  over	
  eat,	
  exercise	
  every	
  day,	
  and	
  maintain	
  a	
  healthy	
  body	
  weight	
  
7.	
  RaJonally	
  distribute	
  the	
  daily	
  food	
  intake	
  among	
  the	
  three	
  meals,	
  correctly	
  choose	
  snacks	
  
8.	
  Drink	
  sufficient	
  amount	
  of	
  water	
  every	
  day,	
  raJonally	
  select	
  beverages	
  	
  
9.	
  If	
  you	
  drink	
  alcoholic	
  beverages,	
  do	
  so	
  in	
  limited	
  amounts	
  
10.	
  Choose	
  fresh	
  and	
  sanitary	
  foods	
  
Source: Ke (2011)
Food classification
21
Food	
  groups	
   Foods	
  sub-­‐groups	
  
Grain	
   Wheat,	
  rice,	
  corn,	
  barley,	
  millet,	
  tubers	
  
Vegetable	
   Root,	
  stem,	
  leafy,	
  and	
  flowering	
  vegetables	
  
Fruit	
   Fruits	
  
Meat	
   Pig,	
  cakle,	
  mukon,	
  poultry	
  ,	
  fish,	
  egg,	
  beans,	
  and	
  products	
  
Dairy	
   Milk	
  and	
  dairy	
  products	
  
Others	
  
Fungi,	
  nuts	
  &	
  seeds,	
  infant	
  food,	
  ethnic	
  foods	
  &	
  cakes,	
  fast	
  foods,	
  beverages,	
  alcoholic	
  
beverages,	
  sugars	
  &	
  preserves	
  &	
  honey,	
  fats	
  &	
  vegetable	
  oils,	
  condiments	
  
Source: Chinese Food Composition Tables (Yang et al. 2004, 2009)
Food classification
22
Source: Ke (2011)

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Dung PhD Conference 2012

  • 1. Preliminary  results     Dung  Doan   Crawford  School  of  Public  Policy   27  November  2012 Income and diet quality in China
 2004-2009
  • 2. Research context   Structural shift in dietary consumptions in developing countries   Characterized not by calories deficiency, but by unbalanced diet   Significant impacts on dietary welfare, health, and labor quality   Warnings of deteriorating diet quality as income rises in China   Shift away from Chinese tradition diet   Higher consumption of animal foods and edible oils   Lower grain and vegetable consumption   Calories intake decreases   Increasing income hardly reduces vitamin A & D deficiencies 2
  • 3. Literature review   Strong focus on diet adequacy   Levels of food and nutrient consumption as dependent variables   E.g. Berhman & Deolalikar (1987), Ravallion (1990), Skoufias (2002, 2009), Mangyo (2008)   Studies on consumption quantity are insufficient to inform about how diet quality changes as income grows   Estimated income elasticity varies widely across studies   Consumption quantity reveals limited info about changes in diet structure and quality   Other aspects of diet quality are under-studied, despite being well-grounded in nutrition literature 3
  • 4. Research questions   Does diet quality necessarily deteriorate as income rises in China?   Are there income effects and what form do they take?   Do income effects change over time?   Are there education effects?   Contribution:   Directly examine income effects on an essential aspect of diet quality that no economists has paid attention to: diet variety   Most recent time period 4
  • 5. Data 5   China Health and Nutrition Survey 2004, 2006, 2009   Multi-stage, randomized cluster sampling design   9 provinces, approx. 3,800 households/year   Pool sample: 20,307 adults (18-60 years old) from 4,506 households
  • 6. Methodology   Dependent variable:   Diet variety, measured by number of major food groups consumed   Repeated cross-sectional regression models   OLS :   Poisson quasi-maximum likelihood: where 6
  • 7. Income effects 7 OLS   Poisson     Model   Variable   2004   2006   2009   2004   2006   2009   1   Income   0.073***   0.016   0.0092         0.064***   0.016**   0.0094*   2   Income   0.114***   0.088***   0.035***   0.114***   0.087***   0.036***   Income  squared   -­‐0.0082*   -­‐0.0046***   -­‐0.0014***   -­‐0.0094***   -­‐0.0051***   -­‐0.0016***   3   QuinJle  2   0.0074   0.056**   -­‐0.038         0.014   0.076**   -­‐0.038   QuinJle  3   -­‐0.034   0.015   -­‐0.043         -­‐0.024   0.039   -­‐0.041   QuinJle  4   0.108***   0.117***   -­‐0.022         0.119***   0.137***   -­‐0.018   QuinJle  5   0.138***   0.149***   0.101***   0.143***   0.159***   0.096***   *  p  <  0.10,  **  p  <  0.05,  ***  p  <  0.01     Upward concave relationship between income and diet variety   Income effects vary across income groups   Income effects weaken over time
  • 8. Income effects (cont’) 8   Marginal income effect is positive, stronger among low income groups   Income effects weaken over time 0.00 0.02 0.04 0.06 0.08 0.10 0.12 Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5 Marginal effects at mean income 2004 2006 2009
  • 9. Education effects   Higher education attainment, higher diet diversity   Difference in impacts of vocational training and university education are not significant at 10% level 9 OLS   Poisson     Educa=on  level   2004   2006   2009   2004   2006   2009   Primary   0.128***   0.032   0.042   0.133   0.036   0.049   Secondary   0.154***   0.106***   0.088***   0.159***   0.107***   0.095***   High  school   0.217***   0.161***   0.150***   0.217***   0.164***   0.158***   VocaJonal  training   0.322***   0.340***   0.296***   0.306***   0.321***   0.287***   University  &  above   0.338***   0.279***   0.376***   0.301***   0.243***   0.341***   *  p  <  0.10,  **  p  <  0.05,  ***  p  <  0.01    Base  educaJon  category  is  “No  educaJon”    
  • 10. Preliminary conclusion   Household income has positive impact on diet variety.   Income effects are stronger among low income groups, but diminish over time.   Education matters. 10
  • 11. Issues and Steps forward   Refine model specification and functional form   Address issue of endogeneity between household income and diet variety   Explore a diet quality index as a more comprehensive measure of diet quality 11
  • 13. Rationale for diet variety   Diet variety as dependent variable   Unambiguous and well-grounded in nutrition literature   Widely recommended by government’s dietary guidelines   Incorporated in well-known diet quality indexes   Construction of variety measure   Diet variety is most commonly measured by no. of food groups consumed (Ruel 2005)   Food group classification is based Chinese Food Composition Table (Yang et al. 2004, 2009), Chinese dietary guidelines 2007, and Diet quality index – International (Kim et al. 2003) 13
  • 14. Income effects   Upward concave relationship between income and diet variety   Marginal income effect is smaller among high income groups   Income effects weaken over time – flatter curves Note: The curves represent the predicted quadratic relationship between income and diet variety, while holding all other regressors constant. Thus, values on the vertical axis do not represent nominal value of diet variety. 14 - 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0 3 6 9 12 15 18 Predicteddietvariety Household income per capita (10,000 Yuan) Predicted diet variety based on Model 2 and mean income of percentiles 2004 2006 2009
  • 15. Income marginal effects   Marginal income effect is smaller among high income groups   Need to refer to nutrition literature to assess the benefit of having 1 additional food group in diet 15 OLS   Poisson     Income  Marginal  effect   2004   2006   2009   2004   2006   2009   Sample  mean   0.099      0.078   0.031     0.097     0.076     0.031     Mean  of  quinJle  1   0.112     0.086     0.034     0.111     0.086     0.035     Mean  of  quinJle  2   0.108      0.084     0.033     0.107     0.083     0.034     Mean  of  quinJle  3   0.104      0.081     0.032     0.102     0.080     0.032     Mean  of  quinJle  4   0.097      0.077      0.030     0.094     0.075     0.030     Mean  of  quinJle  5   0.076      0.061      0.024     0.070     0.058     0.023    
  • 16. Compare Model 2 and Model 3 16 0.00 0.05 0.10 0.15 0.20 0.25 Quintile 2 Quintile 3 Quintile 4 Quintile 5 Income effects, as compared to Quintile 1 2004 - model 2 2006 - model 2 2009 - model 2 2004 - model 3 2006 - model 3 2009 - model 3
  • 17. Community-fixed effects OLS   Poisson     Province   2004   2006   2009   2004   2006   2009   Heilongjiang   -­‐0.011   -­‐0.049   -­‐0.088**     -­‐0.0038   -­‐0.0392   -­‐0.076*   Jiangsu   -­‐0.3889**   -­‐0.706***   -­‐0.797***   -­‐0.347***   -­‐0.617***   -­‐0.718***   Shandong   -­‐0.289***   -­‐0.690***   -­‐0.487***   -­‐0.247***   -­‐0.641***   -­‐0.419***   Henan   -­‐0.359***   -­‐0.642***   -­‐0.625***   -­‐0.316***   -­‐0.568***   -­‐0.564***   Hubei   -­‐0.683***   -­‐0.917***   -­‐0.894***   -­‐0.670***   -­‐0.879***   -­‐0.849***   Hunan   -­‐0.453***   -­‐0.800***   -­‐0.881***   -­‐0.434***   -­‐0.722***   -­‐0.829***   Guangxi   -­‐0.838***   -­‐1.216***   -­‐1.175***   -­‐0.991***   -­‐1.369***   -­‐1.088***   Guizhou   -­‐0.435***   -­‐0.6623***   -­‐0.600***   -­‐0.395***   -­‐0.587***   -­‐0.492***   • p  <  0.10,  **  p  <  0.05,  ***  p  <  0.01   • Base  province  is  Liaoning   17   Provincial factors play a significant role in determining diet variety   Considerable differences across some provinces
  • 18. Checking multicollinearity 18 Model  2   2004   2006   2009   Age  squared   56.37   56.76   55.24   age   56.03   56.45   54.96   HH  income  pc   5.26   4.18   3.74   HH  income  pc  squared   4.53   3.83   3.53   EducaJon  level  -­‐  2   3.21   3.18   3.02   Province_43   2.46   2.74   2.7   EducaJon  level  -­‐  1   2.44   2.58   2.59   EducaJon  level  -­‐  3   2.43   2.51   2.26   Province_32   2.29   2.45   2.13   Province_42   2.25   2.44   2.11   Province_23   2.23   2.41   2.08   Province_37   2.06   2.28   1.92   Province_41   2.04   2.06   1.87   EducaJon  level  -­‐  4   1.84   2.03   1.85   Province_52   1.75   1.94   1.85   Price  -­‐  soy  oil  (log)   1.65   1.91   1.79   EducaJon  level  -­‐  5   1.64   1.88   1.76   Province_45   1.59   1.67   1.54   Price  -­‐  tofu  (log)   1.49   1.62   1.51   Price  -­‐  cabbage  (log)   1.35   1.55   1.42   Rural   1.33   1.41   1.38   Price  -­‐  rice  (log)   1.23   1.38   1.32   Price  -­‐  tofu  (log)   1.21   1.33   1.24   HH  size   1.2   1.27   1.23   Price  -­‐  pork  (log)   1.13   1.24   1.22   Gender   1.06   1.06   1.04   Mean  VIF   6.23   6.31   6.05  
  • 19. Descriptive Statistics 19 No.  of  food  groups  consumed   2004   2006   2009   Mean   1.72   1.77   1.89   Median   2   2   2   Standard  deviaJon   0.77   0.80   0.83   Percentage   0   0.24%   0.31%   0.10%   1   43.38%   41.76%   36.25%   2   43.30%   41.25%   42.18%   3   10.43%   13.85%   17.94%   4   2.36%   2.56%   3.15%   5   0.29%   0.28%   0.39%   HH  income  pc  (Yuan),  adjusted  to  adult   equivalence  scale   2004   2006   2009   Sample  mean                            9,111                                    10,828                                    14,951     Mean  of  quinJle  1                            1,352                                    1,505                                    1,622     Mean  of  quinJle  2                            3,899                                    4,123                                    6,481     Mean  of  quinJle  3                            6,439                                    7,219                                    10,442     Mean  of  quinJle  4                            10,455                                    11,649                                    16,682     Mean  of  quinJle  5                            23,256                                    28,671                                    38,782    
  • 20. Dietary guidelines for Chinese residents 20 1.  Eat  a  variety  of  foods,  mainly  cereals  including  appropriate  amount  of  coarse  grains     2.  Consume  plenty  of  vegetables,  fruits  and  tubers       3.  Consume  milk,  soybean  or  dairy-­‐  or  soybean-­‐products  everyday   4.  Consume  appropriate  amounts  of  fish,  poultry,  eggs  and  lean  meat   5.  Use  less  cooking  oil;  choose  a  light  diet  which  is  also  low  in  salt   6.  Do  not  over  eat,  exercise  every  day,  and  maintain  a  healthy  body  weight   7.  RaJonally  distribute  the  daily  food  intake  among  the  three  meals,  correctly  choose  snacks   8.  Drink  sufficient  amount  of  water  every  day,  raJonally  select  beverages     9.  If  you  drink  alcoholic  beverages,  do  so  in  limited  amounts   10.  Choose  fresh  and  sanitary  foods   Source: Ke (2011)
  • 21. Food classification 21 Food  groups   Foods  sub-­‐groups   Grain   Wheat,  rice,  corn,  barley,  millet,  tubers   Vegetable   Root,  stem,  leafy,  and  flowering  vegetables   Fruit   Fruits   Meat   Pig,  cakle,  mukon,  poultry  ,  fish,  egg,  beans,  and  products   Dairy   Milk  and  dairy  products   Others   Fungi,  nuts  &  seeds,  infant  food,  ethnic  foods  &  cakes,  fast  foods,  beverages,  alcoholic   beverages,  sugars  &  preserves  &  honey,  fats  &  vegetable  oils,  condiments   Source: Chinese Food Composition Tables (Yang et al. 2004, 2009)